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We are seeking a detail-oriented Quality Assurance (QA) Engineer to ensure the quality, reliability, and performance of enterprise applications and AI-powered solutions. The ideal candidate will be responsible for planning and executing comprehensive testing activities, validating AI outputs, identifying defects, and ensuring all deliverables meet quality standards before production release. Key Responsibilities Develop test strategies, test plans, and comprehensive test cases. Perform functional, integration, regression, system, and user acceptance testing (UAT). Validate AI and Agentic AI outputs against business requirements and quality standards. Identify, document, track, and verify defects through resolution. Execute both manual and automated testing where applicable. Verify application performance, usability, reliability, and security. Ensure all deliverables meet quality standards before production deployment. Prepare test reports, defect reports, and QA documentation. Collaborate closely with developers, AI engineers, business analysts, and stakeholders to improve product quality continuously. Requirements Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. 4+ years of Quality Assurance experience. Experience in manual and automated testing. Strong knowledge of functional, integration, regression, system, and UAT testing. Experience with defect tracking and test management tools (e.g., Jira, Azure DevOps, TestRail). Experience testing REST APIs using tools such as Postman. Experience validating AI or Generative AI applications is a plus. Understanding of software development lifecycle (SDLC) and Agile methodologies. Strong analytical, problem-solving, and documentation skills. Excellent communication and teamwork skills.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.